Priyanka Rawat
About
In The Last Decade
Priyanka Rawat
13 papers receiving 550 citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Priyanka Rawat United States | 8 | 291 | 179 | 94 | 93 | 73 | 14 | 561 | ||
| Ujala Sehar United States | 13 | 338 1.2× | 240 1.3× | 103 1.1× | 115 1.2× | 89 1.2× | 29 | 787 | ||
| Anna Matton Sweden | 14 | 339 1.2× | 215 1.2× | 136 1.4× | 89 1.0× | 86 1.2× | 40 | 697 | ||
| Gaurav Paul United States | 4 | 284 1.0× | 191 1.1× | 114 1.2× | 96 1.0× | 68 0.9× | 6 | 569 | ||
| Babak Sabermarouf Iran | 9 | 265 0.9× | 205 1.1× | 114 1.2× | 90 1.0× | 82 1.1× | 12 | 573 | ||
| Huaqiu Chen China | 4 | 269 0.9× | 185 1.0× | 120 1.3× | 85 0.9× | 55 0.8× | 16 | 532 | ||
| Luan Carlos Vieira Alves Brazil | 6 | 281 1.0× | 162 0.9× | 78 0.8× | 104 1.1× | 36 0.5× | 9 | 658 | ||
| Cristina de Mello Gomide Loures Brazil | 5 | 306 1.1× | 163 0.9× | 76 0.8× | 124 1.3× | 39 0.5× | 7 | 661 | ||
| Yunkwon Nam South Korea | 15 | 303 1.0× | 250 1.4× | 87 0.9× | 120 1.3× | 70 1.0× | 34 | 697 | ||
| Patrícia Regina Manzine Brazil | 18 | 430 1.5× | 271 1.5× | 123 1.3× | 96 1.0× | 95 1.3× | 37 | 819 | ||
| Yacoubou Abdoul Razak Mahaman China | 17 | 338 1.2× | 302 1.7× | 114 1.2× | 115 1.2× | 113 1.5× | 34 | 827 |
Countries citing papers authored by Priyanka Rawat
This map shows the geographic impact of Priyanka Rawat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Priyanka Rawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Rawat more than expected).
Fields of papers citing papers by Priyanka Rawat
This network shows the impact of papers produced by Priyanka Rawat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Priyanka Rawat. The network helps show where Priyanka Rawat may publish in the future.
Co-authorship network of co-authors of Priyanka Rawat
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Rawat. A scholar is included among the top collaborators of Priyanka Rawat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Priyanka Rawat. Priyanka Rawat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.